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双耳植入式助听设备中空间降噪算法对语音可懂度和掩蔽释放空间的改善。

Speech Intelligibility and Spatial Release From Masking Improvements Using Spatial Noise Reduction Algorithms in Bimodal Cochlear Implant Users.

机构信息

Medizinische Physik und Exzellenzcluster "Hearing4all," Carl-von-Ossietzky Universität Oldenburg, Oldenburg, Germany.

Institut für Akustik, Technische Hochschule Lübeck, Lübeck, Germany.

出版信息

Trends Hear. 2021 Jan-Dec;25:23312165211005931. doi: 10.1177/23312165211005931.

Abstract

This study investigated the speech intelligibility benefit of using two different spatial noise reduction algorithms in cochlear implant (CI) users who use a hearing aid (HA) on the contralateral side (bimodal CI users). The study controlled for head movements by using head-related impulse responses to simulate a realistic cafeteria scenario and controlled for HA and CI manufacturer differences by using the master hearing aid platform (MHA) to apply both hearing loss compensation and the noise reduction algorithms (beamformers). Ten bimodal CI users with moderate to severe hearing loss contralateral to their CI participated in the study, and data from nine listeners were included in the data analysis. The beamformers evaluated were the adaptive differential microphones (ADM) implemented independently on each side of the listener and the (binaurally implemented) minimum variance distortionless response (MVDR). For frontal speech and stationary noise from either left or right, an improvement (reduction) of the speech reception threshold of 5.4 dB and 5.5 dB was observed using the ADM, and 6.4 dB and 7.0 dB using the MVDR, respectively. As expected, no improvement was observed for either algorithm for colocated speech and noise. In a 20-talker babble noise scenario, the benefit observed was 3.5 dB for ADM and 7.5 dB for MVDR. The binaural MVDR algorithm outperformed the bilaterally applied monaural ADM. These results encourage the use of beamformer algorithms such as the ADM and MVDR by bimodal CI users in everyday life scenarios.

摘要

本研究调查了在使用助听器(HA)对侧(双侧植入人工耳蜗用户)的情况下,两种不同空间降噪算法对人工耳蜗用户言语可懂度的影响。该研究通过使用头部相关脉冲响应来控制头部运动,模拟现实的自助餐厅场景,并通过使用主助听器平台(MHA)来控制 HA 和 CI 制造商的差异,从而应用听力损失补偿和降噪算法(波束形成器)。研究共纳入了 10 名对侧中度至重度听力损失的双侧植入人工耳蜗用户,其中 9 名听众的数据被纳入数据分析。评估的波束形成器是独立应用于听众两侧的自适应差分麦克风(ADM)和(双耳实现)最小方差无失真响应(MVDR)。对于正面语音和来自左侧或右侧的固定噪声,使用 ADM 可分别观察到语音接收阈值提高(降低) 5.4dB 和 5.5dB,而使用 MVDR 可分别观察到提高(降低) 6.4dB 和 7.0dB。如预期的那样,对于两种算法,在共定位语音和噪声的情况下均未观察到改善。在 20 个说话人背景噪声场景中,ADM 的受益为 3.5dB,MVDR 的受益为 7.5dB。双耳 MVDR 算法优于双侧应用的单耳 ADM。这些结果鼓励双侧植入人工耳蜗用户在日常生活场景中使用 ADM 和 MVDR 等波束形成算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60fa/8113364/3d3e64294563/10.1177_23312165211005931-fig1.jpg

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